Agent Loops

An agent can be thought of as a loop - it generates actions, executes them, and repeats until done:

1. Generate: Your model generates output_text, computer_call, function_call
2. Execute: The computer safely executes those items
3. Complete: If the model has no more calls, it's done!

To run an agent loop simply do:

from agent import ComputerAgent
from computer import Computer

computer = Computer() # Connect to a cua container

agent = ComputerAgent(
    model="anthropic/claude-3-5-sonnet-20241022",
    tools=[computer]
)

prompt = "open github, navigate to trycua/cua"

async for result in agent.run(prompt):
    if result["output"][-1]["type"] == "message":
        print("Agent:", result["output"][-1]["content"][0]["text"])

We currently support 4 computer-using agent loops:

• Anthropic CUAs
• OpenAI CUA Preview
• UI-TARS 1.5
• Omniparser + LLMs

For a full list of supported models and configurations, see the Supported Agents page.